Banca de QUALIFICAÇÃO: TÉCIA DE LIMA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : TÉCIA DE LIMA SILVA
DATE: 16/12/2022
TIME: 18:00
LOCAL: https://us02web.zoom.us/j/3010205143?pwd=VXVBTmhmV1k0dTZJclhvK3Evd1RPUT09
TITLE:

Artificial intelligence applied to project management: proposal of a framework

KEY WORDS:

Keywords: project management; artificial intelligence; framework; systematic review of the literature.

PAGES: 102
BIG AREA: Engenharias
AREA: Engenharia de Produção
SUMMARY:

The project management has several approaches, techniques and methods, but these have not been sufficient in the face of increasing complexity of projects where it is necessary a significant amount of decisions to be made. Therefore, the academy and the organizations have invested in supplying the difficulties of project management through advanced analytical techniques, one of these techniques is the Artificial Intelligence. This study aims to propose a framework of applications, solutions and benefits present in the application of principles and tools of artificial intelligence in project management. To achieve this goal it was used the research procedure with four stages: (i) theoretical research through a systematic literature review, with analysis of 158 articles published in peer-reviewed journals, (ii) conceptual modeling of the framework, (iii) survey research applied to experts with scientific publication on the researched theme, for validation of the conceptual framework, and (iv) final structuring of the framework. As a result, the framework presents three dimensions: Benefits, Solutions and Applications. In the Benefits dimension, the application of the IA has as its main benefit the achievement of greater efficiency in the use of project resources. In the dimension Solutions, the most used AI tools in project management are genetic algorithms and artificial neural networks. In the applications dimension, the use of AI in project management are in schedule planning and resource planning. It is concluded that most of the research on the subject is in the search for improvement in the efficiency of resources, time and costs, through the use of genetic algorithms to plan projects in the civil construction sector.

COMMITTEE MEMBERS:
Presidente - 2456706 - MARIO ORESTES AGUIRRE GONZALEZ
Interno - 1229030 - HELIO ROBERTO HEKIS
Externo ao Programa - 1153006 - LUIZ AFFONSO HENDERSON GUEDES DE OLIVEIRA - UFRN